Mediterranean Swordfish Social and Economic MSE
Laurence Kell
26/03/2015
Figure 1. Length Frequencies with age modes (red) and total distributions (green) from the statistical estimation overlayed.
Figure 2. Deterministic numbers-at-age from age slicing procedure.
Figure 3. Statistical estimates of numbers-at-age from the mixture distribution analysis.
Figure 4. A comparison of catch numbers-at-age from the statistical and deterministic ageing procedures.
Figure 5. Standardised residuals of the proportion of numbers-at-age from the deterministic age slicing procedure (red negative and black positive residuals).
Figure 6. Standardised residuals for the proportion of numbers-at-age from the statistical mixture distribution analysis (red negative and black positive residuals).
Figure 7. Comparison of total catch biomass derived from different procedures.
[1] 1.018553
Figure 8. Catch-at-size by lustrum (5 year block).
Figure 9. Powell-Wheatherall plots
Figure 10. Estimates of Z derived from the Powell-Wetherall plots; showing the estimates from each year (black line with points) and a smoother (blue continuous line).
Figure 11. Catch curves by lustrum from statisical age estimates.
Figure 12. Estimated selectivity by lustrum.
Selectivity by gear
Figure 13. Catch curves by gear based on age estimates
Selectivity by gear and lustrum
Figure 14. Catch curves by gear and lustrum based on statistical age estimates.
XSA Continuity Run
Figure 15. XSA diagnostics from continuity run; residuals against fitted value.
Figure 16. XSA diagnostics from continuity run; residuals against year.
Figure 17. XSA diagnostics from continuity run; Calibration regression plots for age 2 (outlier for Scilian gillnet removed).
Figure 18. XSA diagnostics from continuity run; Calibration regression plots for age 3 (outlier for Scilian gillnet removed).
Figure 19. XSA diagnostics from continuity run; Calibration regression plots for age 4 (outlier for Scilian gillnet removed).
Figure 20. XSA diagnostics from continuity run; AR plots of lagged residuals
Figure 21. XSA diagnostics from continuity run; QQ plots to check for normality
Figure 22. XSA diagnostics from continuity run; weights for terminal year Ns for each CPUE observation and shrinkage
Figure 23. XSA time series estimates by CPUE series.
Figure 24. Retrospective XSA time series estimates.
Alternative Run
Figure 25. XSA diagnostics from alternative run; residuals against fitted value.
Figure 26. XSA diagnostics from from alternative run; residuals against year.
Figure 27. XSA diagnostics from from alternative run; Calibration regression plots for age 2.
Figure 28. XSA diagnostics from alternative run; Calibration regression plots for age 3.
Figure 29. XSA diagnostics from alternative run; Calibration regression plots for age 4.
Figure 30. XSA diagnostics alternative run; AR plots of lagged residuals
Figure 31. XSA diagnostics alternative run; QQ plots to check for normality
Figure 32. XSA diagnostics alternative run; weights for terminal year Ns for each CPUE observation and shrinkage
Figure 33. XSA time series estimates by CPUE series.
Figure 34. Retrospective XSA time series estimates.
Stock Status
Figure 35. XSA alternative run.
Stock Status
Figure 36. Stock Recruitment Relationship
[1] TRUE
Figure 37a. Equilibrium Analysis with reference points.
Figure 37b. Equilibrium Analysis with observations.
Figure 38. Kobe Phase Plot.
Figure 39. Current and mesopelagic selection patterns.
Figure 40. Projections for current selection pattern.
Figure 41. Projections for 50:50 current:mesopelagic selection pattern.
Tables
Table 1a. XSA Control options from continuity run.
tol 1e-09
maxit 30
min.nse 0.3
fse 0.3
rage 1
qage 6
shk.n TRUE
shk.f TRUE
shk.yrs 5
shk.ages 5
window 100
tsrange 20
tspower 3
vpa TRUE Table 1b. XSA Control options from alternative run.
tol 1e-09
maxit 30
min.nse 0.3
fse 0.5
rage 1
qage 6
shk.n TRUE
shk.f TRUE
shk.yrs 5
shk.ages 1
window 100
tsrange 20
tspower 3
vpa TRUE Table 2a. Reference Points
An object of class "FLPar"
quantity
refpt harvest yield rec ssb biomass
virgin 0.0000e+00 0.0000e+00 8.8399e+02 2.4321e+05 2.7406e+05
msy 2.4296e-01 1.5835e+04 8.8385e+02 4.9748e+04 7.3242e+04
crash 3.0843e+00 2.1509e-03 2.7182e-04 3.0748e-06 1.5639e-03
f0.1 1.4898e-01 1.4890e+04 8.8392e+02 8.4950e+04 1.1095e+05
fmax 2.4308e-01 1.5835e+04 8.8385e+02 4.9715e+04 7.3206e+04
spr.30 1.7428e-01 1.5391e+04 8.8391e+02 7.3029e+04 9.8316e+04
units: NA Table 2b. Reference Points with 50% Mesopelagic selection pattern.
An object of class "FLPar"
quantity
refpt harvest yield rec ssb biomass
virgin 0.0000e+00 0.0000e+00 8.8399e+02 2.4321e+05 2.7406e+05
msy 2.4180e-01 1.7045e+04 8.8385e+02 4.8891e+04 7.3793e+04
crash 3.6569e+00 2.4233e-03 2.7950e-04 3.1616e-06 1.9020e-03
f0.1 1.4108e-01 1.5917e+04 8.8392e+02 8.6050e+04 1.1319e+05
fmax 2.4193e-01 1.7045e+04 8.8385e+02 4.8858e+04 7.3757e+04
spr.30 1.6864e-01 1.6532e+04 8.8391e+02 7.2957e+04 9.9457e+04
units: NA Table 3. Stock information
An object of class "FLStock"
Slot "catch":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995
all 15292 16765 18320 20365 17762 16018 15746 14709 13265 16082 13015
year
age 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006
all 12053 14693 14369 13699 15569 15006 12814 15674 14405 14601 14893
year
age 2007 2008 2009 2010 2011 2012 2013
all 14227 12164 11840 13430 11423 9888 11254
units: NA
Slot "catch.n":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991
0 21.4729 20.6035 44.3813 63.1249 74.3797 15.3243 27.4159
1 134.5648 90.5752 153.1706 265.5847 197.1327 234.2886 174.9776
2 134.6194 177.6181 133.4858 168.8764 176.0136 289.0440 196.6749
3 79.1531 76.0513 81.8548 87.5656 86.8658 74.0081 92.0008
4 42.6496 45.2544 59.8951 65.5141 54.4569 24.5272 36.7259
5 51.0371 58.7734 65.9006 59.3421 45.0798 24.1648 32.4736
year
age 1992 1993 1994 1995 1996 1997 1998
0 56.2606 47.2734 67.7528 53.5708 27.6208 26.5902 46.3369
1 172.1673 239.6096 190.6157 246.8151 176.5885 156.1288 248.9399
2 219.3156 198.0215 251.2519 164.9636 162.4746 195.0504 160.8919
3 64.1896 49.8246 69.1512 57.0136 68.1938 87.2302 55.0914
4 30.4537 23.7044 26.3690 23.1110 23.1912 40.6634 32.5162
5 33.1255 27.0431 35.9536 26.2792 21.6804 24.0022 38.8505
year
age 1999 2000 2001 2002 2003 2004 2005
0 31.6699 10.2255 20.6051 9.1971 56.6800 60.4517 14.2259
1 177.5012 208.9787 193.4171 288.4701 203.1130 245.1487 221.9711
2 155.8745 184.8450 200.5366 215.1277 270.0108 174.7456 207.5041
3 66.5933 75.2087 81.1425 46.1867 77.5790 66.1635 64.2196
4 35.2808 38.1185 29.4873 17.7672 30.3505 31.7959 28.6761
5 33.5977 36.8194 29.8884 20.7071 21.6038 31.4460 29.8566
year
age 2006 2007 2008 2009 2010 2011 2012
0 27.1267 24.4187 9.5989 12.7435 26.3902 87.4014 21.9434
1 161.6561 267.5342 274.0811 182.0861 151.5678 123.6516 113.8618
2 200.6652 160.1002 184.8834 153.2820 138.1137 131.1289 95.5075
3 60.1729 68.8383 58.8265 57.7290 78.5488 75.0686 42.5593
4 31.3468 31.1331 21.6520 32.8373 42.3556 23.5957 20.2280
5 39.2381 28.2827 14.0846 20.9188 28.7229 22.5787 26.3230
year
age 2013
0 3.1197
1 128.6195
2 159.9425
3 51.9627
4 25.0570
5 25.7617
units: NA
Slot "catch.wt":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991
0 3.5973 3.3550 3.8595 4.1875 3.3635 3.5320 3.6676
1 10.7577 10.7182 9.9559 10.2292 10.6368 10.7895 10.9384
2 22.8482 23.3794 23.3902 22.3407 22.6277 22.5130 22.9624
3 39.9227 39.9683 40.8690 41.1086 40.7663 39.8577 39.8578
4 60.2237 61.2643 62.0729 60.7125 59.9180 59.6007 59.5622
5 92.5657 94.9294 95.9938 95.6335 95.8431 93.1051 96.6367
year
age 1992 1993 1994 1995 1996 1997 1998
0 3.5290 3.7548 3.6669 3.4276 3.7449 3.6454 3.4840
1 11.7756 11.0303 11.7135 10.3914 10.4839 10.7970 9.8658
2 21.0501 21.0571 21.5953 22.7362 22.7384 23.3870 22.5815
3 39.8598 39.8651 39.8655 39.8577 39.8577 39.8577 40.4127
4 59.8357 59.9089 59.7883 59.7285 59.5101 59.6189 59.9181
5 97.3624 97.3884 98.8695 98.1105 97.6339 91.9874 96.0047
year
age 1999 2000 2001 2002 2003 2004 2005
0 4.1242 3.7035 3.7259 3.6340 3.2894 3.4900 3.4467
1 11.1596 10.7847 10.9189 10.3710 11.6721 9.9678 11.4007
2 21.9276 22.7796 22.7163 21.7204 21.7040 22.5322 21.5889
3 39.8610 39.9498 39.8579 39.8577 39.8586 39.8591 39.8795
4 59.8914 59.9181 59.4784 59.7334 59.5068 59.8700 59.7541
5 94.9498 95.6923 101.7694 101.2668 98.2296 97.4292 101.0340
year
age 2006 2007 2008 2009 2010 2011 2012
0 3.3710 3.4884 3.5483 4.1936 4.0896 3.5494 3.6247
1 11.7997 10.4942 10.9215 10.5780 10.4251 10.6537 11.3421
2 21.7698 22.7073 21.6111 22.0457 22.7801 22.3551 21.9654
3 39.8665 40.1303 39.8578 39.8599 39.8629 39.9490 40.2181
4 60.0432 59.5603 59.4830 60.3255 59.6308 58.8395 59.6101
5 100.9875 101.1686 95.5016 94.6294 95.1012 99.6323 99.8336
year
age 2013
0 3.6779
1 11.3741
2 22.2070
3 39.8856
4 59.4617
5 99.6322
units: NA
Slot "discards":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997
all 0 0 0 0 0 0 0 0 0 0 0 0 0
year
age 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
all 0 0 0 0 0 0 0 0 0 0 0 0 0
year
age 2011 2012 2013
all 0 0 0
units: NA
Slot "discards.n":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3 0 0 0 0 0 0 0 0 0 0 0 0 0 0
4 0 0 0 0 0 0 0 0 0 0 0 0 0 0
5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
year
age 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3 0 0 0 0 0 0 0 0 0 0 0 0 0 0
4 0 0 0 0 0 0 0 0 0 0 0 0 0 0
5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
year
age 2013
0 0
1 0
2 0
3 0
4 0
5 0
units: NA
Slot "discards.wt":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991 1992
0 3.5973 3.3550 3.8595 4.1875 3.3635 3.5320 3.6676 3.5290
1 10.7577 10.7182 9.9559 10.2292 10.6368 10.7895 10.9384 11.7756
2 22.8482 23.3794 23.3902 22.3407 22.6277 22.5130 22.9624 21.0501
3 39.9227 39.9683 40.8690 41.1086 40.7663 39.8577 39.8578 39.8598
4 60.2237 61.2643 62.0729 60.7125 59.9180 59.6007 59.5622 59.8357
5 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
year
age 1993 1994 1995 1996 1997 1998 1999 2000
0 3.7548 3.6669 3.4276 3.7449 3.6454 3.4840 4.1242 3.7035
1 11.0303 11.7135 10.3914 10.4839 10.7970 9.8658 11.1596 10.7847
2 21.0571 21.5953 22.7362 22.7384 23.3870 22.5815 21.9276 22.7796
3 39.8651 39.8655 39.8577 39.8577 39.8577 40.4127 39.8610 39.9498
4 59.9089 59.7883 59.7285 59.5101 59.6189 59.9181 59.8914 59.9181
5 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
year
age 2001 2002 2003 2004 2005 2006 2007 2008
0 3.7259 3.6340 3.2894 3.4900 3.4467 3.3710 3.4884 3.5483
1 10.9189 10.3710 11.6721 9.9678 11.4007 11.7997 10.4942 10.9215
2 22.7163 21.7204 21.7040 22.5322 21.5889 21.7698 22.7073 21.6111
3 39.8579 39.8577 39.8586 39.8591 39.8795 39.8665 40.1303 39.8578
4 59.4784 59.7334 59.5068 59.8700 59.7541 60.0432 59.5603 59.4830
5 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
year
age 2009 2010 2011 2012 2013
0 4.1936 4.0896 3.5494 3.6247 3.6779
1 10.5780 10.4251 10.6537 11.3421 11.3741
2 22.0457 22.7801 22.3551 21.9654 22.2070
3 39.8599 39.8629 39.9490 40.2181 39.8856
4 60.3255 59.6308 58.8395 59.6101 59.4617
5 0.0000 0.0000 0.0000 0.0000 0.0000
units: NA
Slot "landings":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995
all 15292 16765 18320 20365 17762 16018 15746 14709 13265 16082 13015
year
age 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006
all 12053 14693 14369 13699 15569 15006 12814 15674 14405 14601 14893
year
age 2007 2008 2009 2010 2011 2012 2013
all 14227 12164 11840 13430 11423 9888 11254
units: NA
Slot "landings.n":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991
0 21.4729 20.6035 44.3813 63.1249 74.3797 15.3243 27.4159
1 134.5648 90.5752 153.1706 265.5847 197.1327 234.2886 174.9776
2 134.6194 177.6181 133.4858 168.8764 176.0136 289.0440 196.6749
3 79.1531 76.0513 81.8548 87.5656 86.8658 74.0081 92.0008
4 42.6496 45.2544 59.8951 65.5141 54.4569 24.5272 36.7259
5 51.0371 58.7734 65.9006 59.3421 45.0798 24.1648 32.4736
year
age 1992 1993 1994 1995 1996 1997 1998
0 56.2606 47.2734 67.7528 53.5708 27.6208 26.5902 46.3369
1 172.1673 239.6096 190.6157 246.8151 176.5885 156.1288 248.9399
2 219.3156 198.0215 251.2519 164.9636 162.4746 195.0504 160.8919
3 64.1896 49.8246 69.1512 57.0136 68.1938 87.2302 55.0914
4 30.4537 23.7044 26.3690 23.1110 23.1912 40.6634 32.5162
5 33.1255 27.0431 35.9536 26.2792 21.6804 24.0022 38.8505
year
age 1999 2000 2001 2002 2003 2004 2005
0 31.6699 10.2255 20.6051 9.1971 56.6800 60.4517 14.2259
1 177.5012 208.9787 193.4171 288.4701 203.1130 245.1487 221.9711
2 155.8745 184.8450 200.5366 215.1277 270.0108 174.7456 207.5041
3 66.5933 75.2087 81.1425 46.1867 77.5790 66.1635 64.2196
4 35.2808 38.1185 29.4873 17.7672 30.3505 31.7959 28.6761
5 33.5977 36.8194 29.8884 20.7071 21.6038 31.4460 29.8566
year
age 2006 2007 2008 2009 2010 2011 2012
0 27.1267 24.4187 9.5989 12.7435 26.3902 87.4014 21.9434
1 161.6561 267.5342 274.0811 182.0861 151.5678 123.6516 113.8618
2 200.6652 160.1002 184.8834 153.2820 138.1137 131.1289 95.5075
3 60.1729 68.8383 58.8265 57.7290 78.5488 75.0686 42.5593
4 31.3468 31.1331 21.6520 32.8373 42.3556 23.5957 20.2280
5 39.2381 28.2827 14.0846 20.9188 28.7229 22.5787 26.3230
year
age 2013
0 3.1197
1 128.6195
2 159.9425
3 51.9627
4 25.0570
5 25.7617
units: NA
Slot "landings.wt":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991
0 3.5973 3.3550 3.8595 4.1875 3.3635 3.5320 3.6676
1 10.7577 10.7182 9.9559 10.2292 10.6368 10.7895 10.9384
2 22.8482 23.3794 23.3902 22.3407 22.6277 22.5130 22.9624
3 39.9227 39.9683 40.8690 41.1086 40.7663 39.8577 39.8578
4 60.2237 61.2643 62.0729 60.7125 59.9180 59.6007 59.5622
5 92.5657 94.9294 95.9938 95.6335 95.8431 93.1051 96.6367
year
age 1992 1993 1994 1995 1996 1997 1998
0 3.5290 3.7548 3.6669 3.4276 3.7449 3.6454 3.4840
1 11.7756 11.0303 11.7135 10.3914 10.4839 10.7970 9.8658
2 21.0501 21.0571 21.5953 22.7362 22.7384 23.3870 22.5815
3 39.8598 39.8651 39.8655 39.8577 39.8577 39.8577 40.4127
4 59.8357 59.9089 59.7883 59.7285 59.5101 59.6189 59.9181
5 97.3624 97.3884 98.8695 98.1105 97.6339 91.9874 96.0047
year
age 1999 2000 2001 2002 2003 2004 2005
0 4.1242 3.7035 3.7259 3.6340 3.2894 3.4900 3.4467
1 11.1596 10.7847 10.9189 10.3710 11.6721 9.9678 11.4007
2 21.9276 22.7796 22.7163 21.7204 21.7040 22.5322 21.5889
3 39.8610 39.9498 39.8579 39.8577 39.8586 39.8591 39.8795
4 59.8914 59.9181 59.4784 59.7334 59.5068 59.8700 59.7541
5 94.9498 95.6923 101.7694 101.2668 98.2296 97.4292 101.0340
year
age 2006 2007 2008 2009 2010 2011 2012
0 3.3710 3.4884 3.5483 4.1936 4.0896 3.5494 3.6247
1 11.7997 10.4942 10.9215 10.5780 10.4251 10.6537 11.3421
2 21.7698 22.7073 21.6111 22.0457 22.7801 22.3551 21.9654
3 39.8665 40.1303 39.8578 39.8599 39.8629 39.9490 40.2181
4 60.0432 59.5603 59.4830 60.3255 59.6308 58.8395 59.6101
5 100.9875 101.1686 95.5016 94.6294 95.1012 99.6323 99.8336
year
age 2013
0 3.6779
1 11.3741
2 22.2070
3 39.8856
4 59.4617
5 99.6322
units: NA
Slot "stock":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997
all NA NA NA NA NA NA NA NA NA NA NA NA NA
year
age 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
all NA NA NA NA NA NA NA NA NA NA NA NA NA
year
age 2011 2012 2013
all NA NA NA
units: NA * NA
Slot "stock.n":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991
0 765.366 800.120 999.174 1133.759 970.817 827.703 843.546
1 820.176 607.241 636.480 777.997 871.280 727.747 663.828
2 567.780 550.348 415.591 383.445 398.911 536.111 385.708
3 336.816 343.860 291.294 220.539 163.026 169.315 181.574
4 181.484 204.613 213.146 165.000 102.201 56.112 72.480
5 217.175 265.738 234.518 149.455 84.603 55.283 64.088
year
age 1992 1993 1994 1995 1996 1997 1998
0 1036.831 900.886 1032.823 903.839 809.627 916.908 894.445
1 665.887 798.116 694.922 784.477 691.663 637.932 726.694
2 386.326 390.517 438.423 397.784 420.876 407.636 381.989
3 140.475 121.260 143.192 135.565 178.138 199.140 159.672
4 66.641 57.682 54.712 55.532 60.009 84.795 85.085
5 72.487 65.806 74.599 63.145 56.100 50.052 101.659
year
age 1999 2000 2001 2002 2003 2004 2005
0 889.401 923.087 1126.060 865.697 1032.159 1003.277 788.406
1 690.493 699.590 746.525 903.333 700.466 793.912 766.868
2 371.835 405.865 385.236 437.450 480.855 391.175 430.061
3 168.878 165.042 167.197 136.720 166.258 153.506 164.143
4 81.352 78.668 67.951 64.492 70.533 66.856 66.536
5 77.471 75.987 68.876 75.163 50.206 66.120 69.275
year
age 2006 2007 2008 2009 2010 2011 2012
0 987.260 941.323 784.538 702.436 661.855 872.543 762.029
1 632.646 783.808 748.643 633.656 563.598 518.060 635.579
2 428.611 372.733 401.921 367.438 355.339 325.311 313.015
3 166.945 171.768 162.047 163.959 163.751 167.300 149.020
4 76.910 82.776 79.037 79.976 82.508 63.971 69.909
5 96.272 75.198 51.414 50.948 55.952 61.214 90.974
year
age 2013
0 679.782
1 604.085
2 417.887
3 170.581
4 83.801
5 86.158
units: NA
Slot "stock.wt":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991
0 3.5973 3.3550 3.8595 4.1875 3.3635 3.5320 3.6676
1 10.7577 10.7182 9.9559 10.2292 10.6368 10.7895 10.9384
2 22.8482 23.3794 23.3902 22.3407 22.6277 22.5130 22.9624
3 39.9227 39.9683 40.8690 41.1086 40.7663 39.8577 39.8578
4 60.2237 61.2643 62.0729 60.7125 59.9180 59.6007 59.5622
5 92.5657 94.9294 95.9938 95.6335 95.8431 93.1051 96.6367
year
age 1992 1993 1994 1995 1996 1997 1998
0 3.5290 3.7548 3.6669 3.4276 3.7449 3.6454 3.4840
1 11.7756 11.0303 11.7135 10.3914 10.4839 10.7970 9.8658
2 21.0501 21.0571 21.5953 22.7362 22.7384 23.3870 22.5815
3 39.8598 39.8651 39.8655 39.8577 39.8577 39.8577 40.4127
4 59.8357 59.9089 59.7883 59.7285 59.5101 59.6189 59.9181
5 97.3624 97.3884 98.8695 98.1105 97.6339 91.9874 96.0047
year
age 1999 2000 2001 2002 2003 2004 2005
0 4.1242 3.7035 3.7259 3.6340 3.2894 3.4900 3.4467
1 11.1596 10.7847 10.9189 10.3710 11.6721 9.9678 11.4007
2 21.9276 22.7796 22.7163 21.7204 21.7040 22.5322 21.5889
3 39.8610 39.9498 39.8579 39.8577 39.8586 39.8591 39.8795
4 59.8914 59.9181 59.4784 59.7334 59.5068 59.8700 59.7541
5 94.9498 95.6923 101.7694 101.2668 98.2296 97.4292 101.0340
year
age 2006 2007 2008 2009 2010 2011 2012
0 3.3710 3.4884 3.5483 4.1936 4.0896 3.5494 3.6247
1 11.7997 10.4942 10.9215 10.5780 10.4251 10.6537 11.3421
2 21.7698 22.7073 21.6111 22.0457 22.7801 22.3551 21.9654
3 39.8665 40.1303 39.8578 39.8599 39.8629 39.9490 40.2181
4 60.0432 59.5603 59.4830 60.3255 59.6308 58.8395 59.6101
5 100.9875 101.1686 95.5016 94.6294 95.1012 99.6323 99.8336
year
age 2013
0 3.6779
1 11.3741
2 22.2070
3 39.8856
4 59.4617
5 99.6322
units: Tonnes
Slot "m":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998
0 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
3 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
4 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
5 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
year
age 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
0 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
3 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
4 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
5 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
year
age 2013
0 0.2
1 0.2
2 0.2
3 0.2
4 0.2
5 0.2
units: NA
Slot "mat":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998
0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
3 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
4 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
5 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
year
age 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
3 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
4 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
5 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
year
age 2013
0 0.0
1 0.0
2 0.0
3 0.5
4 1.0
5 1.0
units: NA
Slot "harvest":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991
0 0.0314273 0.0288087 0.0502063 0.0633297 0.0881848 0.0206317 0.0364953
1 0.1989678 0.1792240 0.3067567 0.4679847 0.2856232 0.4348728 0.3413404
2 0.3014985 0.4362168 0.4336290 0.6552870 0.6569795 0.8826768 0.8100540
3 0.2984136 0.2782570 0.3683882 0.5691284 0.8665624 0.6484455 0.8023506
4 0.2984144 0.2782580 0.3683900 0.5691326 0.8665749 0.6484642 0.8023960
5 0.2984144 0.2782580 0.3683900 0.5691326 0.8665749 0.6484642 0.8023960
year
age 1992 1993 1994 1995 1996 1997 1998
0 0.0616707 0.0595793 0.0750337 0.0675525 0.0383424 0.0325016 0.0587975
1 0.3336489 0.3990706 0.3578897 0.4226792 0.3287246 0.3128393 0.4700555
2 0.9587446 0.8032840 0.9737336 0.6033505 0.5483310 0.7372503 0.6162156
3 0.6900867 0.5958574 0.7472263 0.6149571 0.5423184 0.6503621 0.4743366
4 0.6901641 0.5959775 0.7450457 0.6062457 0.5491225 0.7396164 0.5411092
5 0.6901641 0.5959775 0.7450457 0.6062457 0.5491225 0.7396164 0.5411092
year
age 1999 2000 2001 2002 2003 2004 2005
0 0.0400529 0.0122949 0.0203888 0.0117886 0.0624345 0.0687119 0.0201024
1 0.3313849 0.3966375 0.3344656 0.4305262 0.3825903 0.4130462 0.3817659
2 0.6122505 0.6868513 0.8359214 0.7674239 0.9418250 0.6684161 0.7462613
3 0.5639441 0.6874070 0.7526321 0.4618554 0.7109958 0.6359931 0.5581027
4 0.6414244 0.7509032 0.6419700 0.3597564 0.6345456 0.7307663 0.6359317
5 0.6414244 0.7509032 0.6419700 0.3597564 0.6345456 0.7307663 0.6359317
year
age 2006 2007 2008 2009 2010 2011 2012
0 0.0307690 0.0290247 0.0135882 0.0202127 0.0449558 0.1168759 0.0322696
1 0.3290484 0.4679090 0.5117080 0.3784347 0.3495593 0.3038385 0.2193244
2 0.7144020 0.6329787 0.6966396 0.6082059 0.5532836 0.5807012 0.4070443
3 0.5015237 0.5762266 0.5061593 0.4867182 0.7399226 0.6725922 0.3756363
4 0.5893967 0.5299316 0.3573419 0.5952712 0.8183516 0.5166789 0.3815999
5 0.5893967 0.5299316 0.3573419 0.5952712 0.8183516 0.5166789 0.3815999
year
age 2013
0 0.0050759
1 0.2664159
2 0.5421825
3 0.4062308
4 0.3971059
5 0.3971059
units: f
Slot "harvest.spwn":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998
0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
1 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
2 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
3 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
4 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
year
age 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
1 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
2 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
3 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
4 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
year
age 2013
0 0.5
1 0.5
2 0.5
3 0.5
4 0.5
5 0.5
units: prop
Slot "m.spwn":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998
0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
1 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
2 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
3 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
4 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
year
age 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
1 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
2 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
3 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
4 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
year
age 2013
0 0.5
1 0.5
2 0.5
3 0.5
4 0.5
5 0.5
units: NA
Slot "name":
[1] "Swordfish MED "
Slot "desc":
[1] "Imported from a VPA file. ( /home/laurie/MEGAsync/mse/trade-offs/inputs/swo.idx ). Sat Mar 28 10:14:36 2015 + FLAssess: + FLAssess: "
Slot "range":
min max plusgroup minyear maxyear minfbar maxfbar
0 5 5 1985 2013 2 4 Table 4a. XSA diagnostics from continuity run.
FLR XSA Diagnostics 2015-03-28 10:17:31
CPUE data from indices
Catch data for 29 years 1985 to 2013. Ages 0 to 5.
fleet first age last age first year last year alpha beta
1 Moroccan Longline 2 4 1999 2011 <NA> <NA>
2 Spanish Longline 2 4 1988 2013 <NA> <NA>
3 Scilian Longline 2 4 1991 2009 <NA> <NA>
4 Scilian Gillnet 2 4 1990 2009 <NA> <NA>
5 Greek Longline 2 4 1987 2013 <NA> <NA>
6 Ligurian Longline 2 4 1991 2009 <NA> <NA>
Time series weights :
Tapered time weighting applied
Power = 3 over 20 years
Catchability analysis :
Catchability independent of size for ages > 1
Catchability independent of age for ages > 4
Terminal population estimation :
Survivor estimates shrunk towards the mean F
of the final 5 years or the 1 oldest ages.
S.E. of the mean to which the estimates are shrunk = 0.5
Minimum standard error for population
estimates derived from each fleet = 0.3
prior weighting not applied
Regression weights
year
age 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
all 0.751 0.82 0.877 0.921 0.954 0.976 0.99 0.997 1 1
Fishing mortalities
year
age 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
0 0.069 0.020 0.031 0.029 0.014 0.020 0.045 0.117 0.032 0.005
1 0.413 0.382 0.329 0.468 0.512 0.378 0.350 0.304 0.219 0.266
2 0.668 0.746 0.714 0.633 0.697 0.608 0.553 0.581 0.407 0.542
3 0.636 0.558 0.502 0.576 0.506 0.487 0.740 0.673 0.376 0.406
4 0.731 0.636 0.589 0.530 0.357 0.595 0.818 0.517 0.382 0.397
5 0.731 0.636 0.589 0.530 0.357 0.595 0.818 0.517 0.382 0.397
XSA population number (Thousand)
age
year 0 1 2 3 4 5
2004 1003 794 391 154 67 66
2005 788 767 430 164 67 69
2006 987 633 429 167 77 96
2007 941 784 373 172 83 75
2008 785 749 402 162 79 51
2009 702 634 367 164 80 51
2010 662 564 355 164 83 56
2011 873 518 325 167 64 61
2012 762 636 313 149 70 91
2013 680 604 418 171 84 86
Estimated population abundance at 1st Jan 2014
age
year 0 1 2 3 4 5
2014 0 554 379 199 93 46
Fleet: Moroccan Longline
Log catchability residuals.
year
age 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008
2 0.032 0.111 -0.209 -0.103 -0.277 0.008 0.137 0.061 0.119 0.162
3 -0.038 0.173 -0.247 0.089 -0.149 0.091 0.181 0.073 0.031 0.150
4 -0.063 0.152 -0.183 0.005 -0.114 0.174 0.329 0.097 -0.048 0.012
year
age 2009 2010 2011
2 -0.005 -0.064 -0.073
3 -0.090 -0.047 -0.207
4 -0.113 -0.118 -0.103
Mean log catchability and standard error of ages with catchability
independent of year class strength and constant w.r.t. time
2 3 4
Mean_Logq -1.5067 -0.6685 0.1209
S.E_Logq 0.1380 0.1380 0.1380
Fleet: Spanish Longline
Log catchability residuals.
year
age 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997
2 0.213 -0.174 -0.254 -0.163 -0.315 -0.070 -0.008 -0.128 -0.399 -0.266
3 -0.099 -0.019 -0.028 -0.240 -0.243 0.183 0.190 0.126 -0.370 -0.414
4 -0.589 -0.332 0.296 -0.102 -0.278 0.146 0.371 0.234 -0.059 -0.302
year
age 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007
2 -0.204 -0.287 -0.348 -0.300 -0.098 -0.467 -0.482 -0.263 -0.081 0.222
3 -0.221 -0.346 -0.276 -0.327 0.105 -0.328 -0.388 -0.208 -0.057 0.145
4 -0.343 -0.363 -0.289 -0.255 0.030 -0.284 -0.296 -0.052 -0.024 0.074
year
age 2008 2009 2010 2011 2012 2013
2 0.395 0.134 0.159 0.304 0.370 -0.069
3 0.393 0.060 0.186 0.181 0.271 -0.061
4 0.264 0.045 0.124 0.294 0.250 -0.135
Mean log catchability and standard error of ages with catchability
independent of year class strength and constant w.r.t. time
2 3 4
Mean_Logq -1.0053 -0.1779 0.6027
S.E_Logq 0.2471 0.2471 0.2471
Fleet: Scilian Longline
Log catchability residuals.
year
age 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001
2 -0.005 0.037 NA -0.074 0.090 NA -0.369 0.163 0.360 -0.180 0.368
3 -0.105 0.086 NA 0.101 0.321 NA -0.540 0.123 0.278 -0.130 0.318
4 0.029 0.048 NA 0.278 0.426 NA -0.432 -0.002 0.258 -0.146 0.387
year
age 2002 2003 2004 2005 2006 2007 2008 2009
2 0.565 -0.370 0.024 0.065 0.187 -0.259 -0.237 -0.054
3 0.746 -0.254 0.095 0.097 0.187 -0.359 -0.261 -0.151
4 0.667 -0.213 0.183 0.250 0.217 -0.433 -0.394 -0.169
Mean log catchability and standard error of ages with catchability
independent of year class strength and constant w.r.t. time
2 3 4
Mean_Logq -0.8791 -0.0287 0.7551
S.E_Logq 0.2917 0.2917 0.2917
Fleet: Scilian Gillnet
Log catchability residuals.
year
age 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000
2 -0.264 0.200 0.803 0.470 0.107 0.483 -0.048 0.474 0.159 0.412 0.517
3 -0.046 0.115 0.867 0.716 0.297 0.729 -0.027 0.318 0.134 0.345 0.582
4 0.258 0.232 0.812 0.658 0.457 0.817 0.263 0.408 -0.008 0.308 0.549
year
age 2001 2002 2003 2004 2005 2006 2007 2008 2009
2 0.499 NA NA 0.562 0.273 1.197 NA -0.981 -1.442
3 0.464 NA NA 0.648 0.320 1.213 NA -0.990 -1.523
4 0.515 NA NA 0.718 0.455 1.225 NA -1.140 -1.559
Mean log catchability and standard error of ages with catchability
independent of year class strength and constant w.r.t. time
2 3 4
Mean_Logq -3.4097 -2.5744 -1.7730
S.E_Logq 0.6459 0.6459 0.6459
Fleet: Greek Longline
Log catchability residuals.
year
age 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997
2 -0.147 0.195 NA -0.147 0.431 -0.421 0.093 0.326 -0.220 NA NA
3 -0.650 -0.118 NA 0.079 0.352 -0.349 0.345 0.523 0.033 NA NA
4 -1.116 -0.606 NA 0.405 0.493 -0.382 0.310 0.706 0.144 NA NA
year
age 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007
2 0.477 0.231 -0.067 0.098 -0.275 -0.099 0.001 -0.081 -0.034 0.125
3 0.458 0.170 0.005 0.069 -0.073 0.038 0.094 -0.028 -0.013 0.047
4 0.339 0.156 -0.005 0.145 -0.145 0.085 0.187 0.131 0.023 -0.021
year
age 2008 2009 2010 2011 2012 2013
2 0.014 -0.073 0.109 -0.040 -0.086 0.106
3 0.011 -0.148 0.135 -0.164 -0.187 0.113
4 -0.116 -0.160 0.075 -0.048 -0.205 0.042
Mean log catchability and standard error of ages with catchability
independent of year class strength and constant w.r.t. time
2 3 4
Mean_Logq -0.7869 0.0418 0.8198
S.E_Logq 0.2804 0.2804 0.2804
Fleet: Ligurian Longline
Log catchability residuals.
year
age 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000
2 -0.363 -0.595 -0.630 -0.400 -0.414 -0.498 -0.316 0.058 -0.269 -0.046
3 -0.463 -0.545 -0.399 -0.225 -0.183 -0.491 -0.487 0.018 -0.351 0.004
4 -0.331 -0.586 -0.442 -0.050 -0.081 -0.186 -0.381 -0.109 -0.373 -0.014
year
age 2001 2002 2003 2004 2005 2006 2007 2008 2009
2 0.368 -0.045 0.014 -0.326 -0.589 -0.163 0.594 0.404 -0.067
3 0.318 0.135 0.130 -0.255 -0.557 -0.162 0.494 0.379 -0.164
4 0.385 0.055 0.168 -0.169 -0.406 -0.135 0.418 0.244 -0.185
Mean log catchability and standard error of ages with catchability
independent of year class strength and constant w.r.t. time
2 3 4
Mean_Logq -0.6467 0.2038 0.9897
S.E_Logq 0.3144 0.3144 0.3144
Terminal year survivor and F summaries:
,Age 0 Year class =2013
source
scaledWts survivors yrcls
fshk 0.082 60 2013
nshk 0.918 675 2013
,Age 1 Year class =2012
source
scaledWts survivors yrcls
fshk 1 273 2012
,Age 2 Year class =2011
source
scaledWts survivors yrcls
Spanish Longline 0.363 186 2011
Greek Longline 0.393 221 2011
fshk 0.244 187 2011
,Age 3 Year class =2010
source
scaledWts survivors yrcls
Spanish Longline 0.394 88 2010
Greek Longline 0.394 104 2010
fshk 0.213 63 2010
,Age 4 Year class =2009
source
scaledWts survivors yrcls
Spanish Longline 0.394 40 2009
Greek Longline 0.394 48 2009
fshk 0.211 45 2009Table 4b. XSA diagnostics from alternative run.
FLR XSA Diagnostics 2015-03-28 10:17:34
CPUE data from indices
Catch data for 29 years 1985 to 2013. Ages 0 to 5.
fleet first age last age first year last year alpha beta
1 Moroccan Longline 2 4 1999 2011 <NA> <NA>
2 Spanish Longline 2 4 1988 2013 <NA> <NA>
3 Scilian Longline 2 4 1991 2009 <NA> <NA>
4 Scilian Gillnet 2 4 1990 2009 <NA> <NA>
5 Greek Longline 2 4 1987 2013 <NA> <NA>
6 Ligurian Longline 2 4 1991 2009 <NA> <NA>
Time series weights :
Tapered time weighting applied
Power = 3 over 20 years
Catchability analysis :
Catchability independent of size for ages > 1
Catchability independent of age for ages > 4
Terminal population estimation :
Survivor estimates shrunk towards the mean F
of the final 5 years or the 1 oldest ages.
S.E. of the mean to which the estimates are shrunk = 0.5
Minimum standard error for population
estimates derived from each fleet = 0.3
prior weighting not applied
Regression weights
year
age 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
all 0.751 0.82 0.877 0.921 0.954 0.976 0.99 0.997 1 1
Fishing mortalities
year
age 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
0 0.069 0.020 0.031 0.029 0.014 0.020 0.045 0.117 0.032 0.005
1 0.413 0.382 0.329 0.468 0.512 0.378 0.350 0.304 0.219 0.266
2 0.668 0.746 0.714 0.633 0.697 0.608 0.553 0.581 0.407 0.542
3 0.636 0.558 0.502 0.576 0.506 0.487 0.740 0.673 0.376 0.406
4 0.731 0.636 0.589 0.530 0.357 0.595 0.818 0.517 0.382 0.397
5 0.731 0.636 0.589 0.530 0.357 0.595 0.818 0.517 0.382 0.397
XSA population number (Thousand)
age
year 0 1 2 3 4 5
2004 1003 794 391 154 67 66
2005 788 767 430 164 67 69
2006 987 633 429 167 77 96
2007 941 784 373 172 83 75
2008 785 749 402 162 79 51
2009 702 634 367 164 80 51
2010 662 564 355 164 83 56
2011 873 518 325 167 64 61
2012 762 636 313 149 70 91
2013 680 604 418 171 84 86
Estimated population abundance at 1st Jan 2014
age
year 0 1 2 3 4 5
2014 0 554 379 199 93 46
Fleet: Moroccan Longline
Log catchability residuals.
year
age 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008
2 0.032 0.111 -0.209 -0.103 -0.277 0.008 0.137 0.061 0.119 0.162
3 -0.038 0.173 -0.247 0.089 -0.149 0.091 0.181 0.073 0.031 0.150
4 -0.063 0.152 -0.183 0.005 -0.114 0.174 0.329 0.097 -0.048 0.012
year
age 2009 2010 2011
2 -0.005 -0.064 -0.073
3 -0.090 -0.047 -0.207
4 -0.113 -0.118 -0.103
Mean log catchability and standard error of ages with catchability
independent of year class strength and constant w.r.t. time
2 3 4
Mean_Logq -1.5067 -0.6685 0.1209
S.E_Logq 0.1380 0.1380 0.1380
Fleet: Spanish Longline
Log catchability residuals.
year
age 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997
2 0.213 -0.174 -0.254 -0.163 -0.315 -0.070 -0.008 -0.128 -0.399 -0.266
3 -0.099 -0.019 -0.028 -0.240 -0.243 0.183 0.190 0.126 -0.370 -0.414
4 -0.589 -0.332 0.296 -0.102 -0.278 0.146 0.371 0.234 -0.059 -0.302
year
age 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007
2 -0.204 -0.287 -0.348 -0.300 -0.098 -0.467 -0.482 -0.263 -0.081 0.222
3 -0.221 -0.346 -0.276 -0.327 0.105 -0.328 -0.388 -0.208 -0.057 0.145
4 -0.343 -0.363 -0.289 -0.255 0.030 -0.284 -0.296 -0.052 -0.024 0.074
year
age 2008 2009 2010 2011 2012 2013
2 0.395 0.134 0.159 0.304 0.370 -0.069
3 0.393 0.060 0.186 0.181 0.271 -0.061
4 0.264 0.045 0.124 0.294 0.250 -0.135
Mean log catchability and standard error of ages with catchability
independent of year class strength and constant w.r.t. time
2 3 4
Mean_Logq -1.0053 -0.1779 0.6027
S.E_Logq 0.2471 0.2471 0.2471
Fleet: Scilian Longline
Log catchability residuals.
year
age 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001
2 -0.005 0.037 NA -0.074 0.090 NA -0.369 0.163 0.360 -0.180 0.368
3 -0.105 0.086 NA 0.101 0.321 NA -0.540 0.123 0.278 -0.130 0.318
4 0.029 0.048 NA 0.278 0.426 NA -0.432 -0.002 0.258 -0.146 0.387
year
age 2002 2003 2004 2005 2006 2007 2008 2009
2 0.565 -0.370 0.024 0.065 0.187 -0.259 -0.237 -0.054
3 0.746 -0.254 0.095 0.097 0.187 -0.359 -0.261 -0.151
4 0.667 -0.213 0.183 0.250 0.217 -0.433 -0.394 -0.169
Mean log catchability and standard error of ages with catchability
independent of year class strength and constant w.r.t. time
2 3 4
Mean_Logq -0.8791 -0.0287 0.7551
S.E_Logq 0.2917 0.2917 0.2917
Fleet: Scilian Gillnet
Log catchability residuals.
year
age 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000
2 -0.264 0.200 0.803 0.470 0.107 0.483 -0.048 0.474 0.159 0.412 0.517
3 -0.046 0.115 0.867 0.716 0.297 0.729 -0.027 0.318 0.134 0.345 0.582
4 0.258 0.232 0.812 0.658 0.457 0.817 0.263 0.408 -0.008 0.308 0.549
year
age 2001 2002 2003 2004 2005 2006 2007 2008 2009
2 0.499 NA NA 0.562 0.273 1.197 NA -0.981 -1.442
3 0.464 NA NA 0.648 0.320 1.213 NA -0.990 -1.523
4 0.515 NA NA 0.718 0.455 1.225 NA -1.140 -1.559
Mean log catchability and standard error of ages with catchability
independent of year class strength and constant w.r.t. time
2 3 4
Mean_Logq -3.4097 -2.5744 -1.7730
S.E_Logq 0.6459 0.6459 0.6459
Fleet: Greek Longline
Log catchability residuals.
year
age 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997
2 -0.147 0.195 NA -0.147 0.431 -0.421 0.093 0.326 -0.220 NA NA
3 -0.650 -0.118 NA 0.079 0.352 -0.349 0.345 0.523 0.033 NA NA
4 -1.116 -0.606 NA 0.405 0.493 -0.382 0.310 0.706 0.144 NA NA
year
age 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007
2 0.477 0.231 -0.067 0.098 -0.275 -0.099 0.001 -0.081 -0.034 0.125
3 0.458 0.170 0.005 0.069 -0.073 0.038 0.094 -0.028 -0.013 0.047
4 0.339 0.156 -0.005 0.145 -0.145 0.085 0.187 0.131 0.023 -0.021
year
age 2008 2009 2010 2011 2012 2013
2 0.014 -0.073 0.109 -0.040 -0.086 0.106
3 0.011 -0.148 0.135 -0.164 -0.187 0.113
4 -0.116 -0.160 0.075 -0.048 -0.205 0.042
Mean log catchability and standard error of ages with catchability
independent of year class strength and constant w.r.t. time
2 3 4
Mean_Logq -0.7869 0.0418 0.8198
S.E_Logq 0.2804 0.2804 0.2804
Fleet: Ligurian Longline
Log catchability residuals.
year
age 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000
2 -0.363 -0.595 -0.630 -0.400 -0.414 -0.498 -0.316 0.058 -0.269 -0.046
3 -0.463 -0.545 -0.399 -0.225 -0.183 -0.491 -0.487 0.018 -0.351 0.004
4 -0.331 -0.586 -0.442 -0.050 -0.081 -0.186 -0.381 -0.109 -0.373 -0.014
year
age 2001 2002 2003 2004 2005 2006 2007 2008 2009
2 0.368 -0.045 0.014 -0.326 -0.589 -0.163 0.594 0.404 -0.067
3 0.318 0.135 0.130 -0.255 -0.557 -0.162 0.494 0.379 -0.164
4 0.385 0.055 0.168 -0.169 -0.406 -0.135 0.418 0.244 -0.185
Mean log catchability and standard error of ages with catchability
independent of year class strength and constant w.r.t. time
2 3 4
Mean_Logq -0.6467 0.2038 0.9897
S.E_Logq 0.3144 0.3144 0.3144
Terminal year survivor and F summaries:
,Age 0 Year class =2013
source
scaledWts survivors yrcls
fshk 0.082 60 2013
nshk 0.918 675 2013
,Age 1 Year class =2012
source
scaledWts survivors yrcls
fshk 1 273 2012
,Age 2 Year class =2011
source
scaledWts survivors yrcls
Spanish Longline 0.363 186 2011
Greek Longline 0.393 221 2011
fshk 0.244 187 2011
,Age 3 Year class =2010
source
scaledWts survivors yrcls
Spanish Longline 0.394 88 2010
Greek Longline 0.394 104 2010
fshk 0.213 63 2010
,Age 4 Year class =2009
source
scaledWts survivors yrcls
Spanish Longline 0.394 40 2009
Greek Longline 0.394 48 2009
fshk 0.211 45 2009